A spatial diversity cooperative spectrum sensing system based on blockchain and deep learning by Zhongshan XIAO, Chunqi WANG, Daquan FENG

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Advancements in training and deployment strategies for AI-based intrusion detection systems in IoT: a systematic literature review by S. Kumar Reddy Mallidi, Rajeswara Rao Ramisetty

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Three-stage automatic operational modal analysis using mathematical mode elimination by density-based clustering method by A. Salar Mehrabad, A. Shooshtari

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Standardization for Data Generation and Collection in the Dairy Industry: Addressing Challenges and Charting a Path Forward by Michel Baldin, Jeffrey M. Bewley, Victor E. Cabrera, Kevin Jones, Connie Loehr, Gustavo Mazon, Juan D. Perez, Matthew Utt, Jeff Weyers

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HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network by Tam V. Nguyen, Vinh Ngoc Tran, Hoang Tran, Doan Van Binh, Toan D. Duong, Thanh Duc Dang, Pia Ebeling

Subjects: “…Machine learning…”
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Developing an Hourly Water Level Prediction Model for Small- and Medium-Sized Agricultural Reservoirs Using AutoML: Case Study of Baekhak Reservoir, South Korea by Jeongho Han, Joo Hyun Bae

Subjects: “…automated machine learning…”
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AI Algorithms as (un)virtuous knowers by Hans Van Eyghen

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A Review of Environmental Perception Technology Based on Multi-Sensor Information Fusion in Autonomous Driving by Boquan Yang, Jixiong Li, Ting Zeng

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SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING by Vladimir Milićević, Igor Franc, Maja Lutovac Banduka, Nemanja Zdravković, Nikola Dimitrijević

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PermGuard: A Scalable Framework for Android Malware Detection Using Permission-to-Exploitation Mapping by Arvind Prasad, Shalini Chandra, Mueen Uddin, Taher Al-Shehari, Nasser A. Alsadhan, Syed Sajid Ullah

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Enhancing Monkeypox Detection through Data Analytics: A Comparative Study of Machine and Deep Learning Techniques by Kinjal A. Patel, Asadi Srinivasulu, Kuntesh Jani, Goddindla Sreenivasulu

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Enhanced dry SO₂ capture estimation using Python-driven computational frameworks with hyperparameter tuning and data augmentation by Robert Makomere, Hilary Rutto, Alfayo Alugongo, Lawrence Koech, Evans Suter, Itumeleng Kohitlhetse

Subjects: “…Machine learning…”
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Stochasticity as a solution for overfitting—A new model and comparative study on non-invasive EEG prospects by Yousef A. Radwan, Eslam Ahmed Mohamed, Donia Metwalli, Mariam Barakat, Anas Ahmed, Antony E. Kiroles, Sahar Selim

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Forecasting the Probability of Large Rates of Change of the Geomagnetic Field in the UK: Timescales, Horizons, and Thresholds by A. W. Smith, C. Forsyth, I. J. Rae, T. M. Garton, T. Bloch, C. M. Jackman, M. Bakrania

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Development and validation of a risk prediction model for acute kidney injury in coronary artery disease by Ming Ye, Chang Liu, Duo Yang, Hai Gao

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Geospatial Data and Deep Learning Expose ESG Risks to Critical Raw Materials Supply: The Case of Lithium by Christopher J. M. Lawley, Marcus Haynes, Bijal Chudasama, Kathryn Goodenough, Toni Eerola, Artem Golev, Steven E. Zhang, Junhyeok Park, Eleonore Lèbre

Subjects: “…machine learning…”
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Artificial Intelligence-Powered Materials Science by Xiaopeng Bai, Xingcai Zhang

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Artificial intelligence driven innovations in biochemistry: A review of emerging research frontiers by Mohammed Abdul Lateef Junaid

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Comprehensive Analysis of Programmed Cell Death-Related Genes in Diagnosis and Synovitis During Osteoarthritis Development: Based on Bulk and Single-Cell RNA Sequencing Data by Zhou J, Jiao S, Huang J, Dai T, Xu Y, Xia D, Feng Z, Chen J, Li Z, Hu L, Meng Q

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Determining university’s readiness to implement AI technologies for personalizing educational paths by V. S. Starostin, K. A. Arzhanova, D. V. Dolgopolov, A. D. Ditrikh

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